Lecture 1 - What is Digital Transformation
Lecture 2 - Drivers for Digital Transformation
Lecture 3 - Overview of Emerging Digital Technologies - Part 1
Lecture 4 - Overview of Emerging Digital Technologies - Part 2
Lecture 5 - Overview of Emerging Digital Technologies - Part 3
Lecture 6 - What is a Business Model and how to build a Business Model
Lecture 7 - Types of Business to Consumer B2C Digital Business Models
Lecture 8 - Digital Business Models of the Future
Lecture 9 - Overview of Digital Transformation
Lecture 10 - Building Digital Mastery
Lecture 11 - Building Digital Capabilities
Lecture 12 - Disruptive Business Models
Lecture 13 - Digital Transformation Play Book
Lecture 14 - Strategic Planning Tools for Digital Transformation
Lecture 15 - Digital Transformation Road Map - Microsoft Story
Lecture 16 - Platform Strategies - Sharing Economy
Lecture 17 - Platform as a Business Model
Lecture 18 - Developing a Platform Business Model Map
Lecture 19 - Artificial Intelligence - Introduction
Lecture 20 - Linear Regression and Deep Learning Model
Lecture 21 - Putting AI in practice
Lecture 22 - Prepare for AI
Lecture 23 - Get AI ideas Flowing
Lecture 24 - Becoming AI ready
Lecture 25 - Find AI opportunities - Part 1
Lecture 26 - Find AI opportunities - Part 2
Lecture 27 - Introduction to Gen AI and LLMs
Lecture 28 - Gen AI Impacting various business Operations
Lecture 29 - Gen AI - Rethinking the Enterprise Agenda
Lecture 30 - Scaling Gen AI in Governments
Lecture 31 - Data to Regression Model - Lifecycle
Lecture 32 - NLP and Computer Vision Applications
Lecture 33 - Prompt Engineering
Lecture 34 - Orchestrating Agentic AI for Intelligent Business Operations
Lecture 35 - Common AI Ethical Issues
Lecture 36 - Managing Ethics and Bias
Lecture 37 - Future Ready Organization - Pathways to Transformation
Lecture 38 - Gen AI - New Frontier for the Future of Work
Lecture 39 - Workforce of the Future
Lecture 40 - Sustainable Digital Technologies
